Assoc. Prof. Dr. EMRE ÖZBİLGE

Articles published in other peer reviewed international journals

• Enhancing educational environments with Social Media Feedback Evaluation Employing Hybrid Neutrosophic Decision Optimization (HNDO) and Neutrosophic Sentiment Fusion (NSF) - 2025
• Logarithmic neutrosophic logical communicated to basic interaction aggregating operators using various finite weighted with extension - 2025
• Robust Plant Disease Recognition Using a Neutrosophic-Enhanced, RBF-Based Stacked Ensemble of ConvNeXt and Classical CNN Models - 2025
• Detection of Keratoconus through YOLOv8 Region of Interest Preprocessing and Pre-trained Convolutional Neural Networks Using 2D Images - 2025
• On embedding family of numerical scheme for solving non-linear equations with engineering applications - 2024
• An mcdm approach on einstein aggregation operators under bipolar linear diophantine fuzzy hypersoft set - 2024
• Extending the concepts of complex interval valued neutrosophic subbisemiring of bisemiring - 2024
• Determination of the unknown source function in time fractional parabolic equation with Dirichlet boundary conditions - 2016

Articles published in peer reviewed international journals (SCI,SSCI,Arts and Humanities)

• Ensembling object detection models for robust and reliable malaria parasite detection in thin blood smear microscopic images - 2024
• Determination of medical emergency via new intuitionistic fuzzy correlation measures based on Spearman’s correlation coefficient - 2024
• Fusion of Novelty Detectors Using Deep and Local Invariant Visual Features for Inspection Task - 2022
• Artificial intelligence-assisted RT-PCR detection model for rapid and reliable diagnosis of COVID-19 - 2022
• Tomato disease recognition using a compact convolutional neural network - 2022
• Inverse problem for a time fractional parabolic equation with nonlocal boundary conditions - 2022
• Modelling and analysis of IoT technology using neural networks in agriculture environment - 2020
• Experiments in online expectation-based novelty-detection using 3D shape and colour perceptions for mobile robot inspection - 2019
• On-line expectation-based novelty detection for mobile robots - 2016

Articles published in National journals

• Wind Speed Prediction Using Deep Recurrent Neural Networks and Farm Platform Features for One-Hour-Ahead Forecast - 2024
• Skin Cancer Recognition Using Compact Deep Convolutional Neural Network - 2023

Papers presented in international conferences and printed as proceedings

• Cryptocurrency Prediction Using Deep Recurrent Neural Networks - 2024
• Use of artificial intelligence on rapid COVID-19 diagnosis using real-time polymerase chain reaction data - 2022
• Plant Disease Identification Through Deep Learning - 2021
• Automated malaria parasite detection using artificial neural network - 2020
• Detecting static and dynamic novelties using dynamic neural network - 2017
• Novelty Detection in Static and Dynamic Environments - 2010
• Expectation-Based Novelty Detection in Mobile Robotics - 2009

Papers presented in National conferences and printed as proceedings

• Comparative Analysis of Deep Recurrent Neural Networks for Speech Recognition - 2024
• Detection of Plasmodium parasites using a deep learning model from images obtained from thin blood smears: pilot study data - 2023
• Machine learning-assisted rapid cervical human papillomavirus genotyping - 2023
• Analysis and Modelling of Meteorological Sensory Signals for One-Hour-Ahead Wind Speed Forecasting using Dynamic Neural Networks - 2022